code: def test_p_mpjpe():
      x = np.random.randn(32, 17, 3)
      y = np.random.randn(32, 17, 3)
      err = p_mpjpe(x, y)
      print(err)
  
imports: import os
  import torch
  import torch.optim
  import numpy
  from sklearn.metrics import auc
label_desc: Use image node_id 19 for calling a global function with example usage: test_p_mpjpe() without return types